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Presented by Eunice Lau (with Koji Nomura and Hideyuki Mizobuchi) Keio University, Tokyo, Japan The 2008 World Congress on National Accounts and Economic Performance Measures for Nations
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Aim: to construct an international database for growth accounting; of harmonaised data and methods as much as possible; covering APO member countries; China, US and EU15 as reference economies; Considering to include Australia.
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Not about pushing the frontier of the methodology But about extending the scope to cover a new country group Mindful of practices of other established international databases Important for the possibility of future joined- up analysis
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Aim: to drive greater economic development via productivity enhancement in the Asia-Pacific Region
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To identify common challenges → action plans Research and surveys ◦ data and analysis APO data compilation effort started in 2001 ◦ Labour Productivity Databook Project ◦ Publication: Asia-Pacific Productivity Data and Analysis ◦ Focus: recent performance and individual country reports
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Launched in September 2007 First task: ◦ to complete APO Productivity Databook 2008 APO Productivity Databook 2008 (March) ◦ Mark an important transition: ◦ Data collected under the old infrastructure of LPDB ◦ But a new analytical framework attempted A common framework Long time series (1975-2005) PR of China, EU15 and the US as reference The regional and global contexts
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Caveats: ◦ Data as supplied by the national experts ◦ Internal consistency of country’s dataset checked ◦ But no other adjustments made ◦ Cross-country data comparability not thoroughly investigated Managed to establish ◦ a common analytical framework Some uncertainty around the actual results
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GDPPer capita GDP Labour productivity Labour utilisation APO countries 107.914.417.481.6 APO + PR China 180.115.215.795.9 E1595.472.8-- 2005, US=100
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GDP-PPP
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2000-2005
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Average per annum, 2000-2005
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Average growth per annum, 2000-2005
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2000-2005
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Work has already started! Questionnaire ◦ data comparability issues ◦ adjustments where deemed necessary Quality of analysis will improve with ◦ a better understanding of the dataset; and ◦ improved cross-country data comparability
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Total actual hours worked Economic growth analysis ◦ In addition to industry origins, ◦ Contributions by final demand categories ◦ On the supply side, to account labour productivity growth by capital accumulation and TFP growth (construct capital services for countries which can supply the investment data) Non-agriculture market sector
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